In the context of AI4CZC project, this model forecasts the Montenegro net position (difference between generation and load) for the next 48h. The model was trained with data from 2019 to 2021 and tested on 2022 data. It performs with a MAE of 75.8 and a R... read more of Montenegro net position forecast model

AI4CZC platform is the Inceptive platform for energy forecasting. read more of AI4CZC platform

This jupyter notebook is how a prediction system for heat energy demand was implemented in context of I-NERGY project. read more of I-NERGY Heat Forecasting

This jupyter notebook is how a prediction system for cold energy demand was implemented in context of I-NERGY project. read more of I-NERGY Cold Forecasting

A repository with some of the models developed and trained for the AI4Hotels project. read more of AI4Hotels forecasting models

Demonstration web application for the AI4Hotels project within the I-nergy call. The demonstration webapp allows the user to visualize the data used for training the forecasting models, as well as run the electric load forecasting model and the occupancy ... read more of AI4Hotels web application (demo)

The AI4Demand project presents a short-term (daily or hourly) energy demand and consumption forecasting module using novel AI-based approaches where the cause-and-effect relations between energy data and externally influencing factors (energy and weather-... read more of Short-term Electricity Consumption and Demand Prediction (AI4Demand)